Millidge, Beren

10 publications

ICLR 2024 A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz

ICML 2024 Predictive Coding Beyond Correlations Tommaso Salvatori, Luca Pinchetti, Amine M’Charrak, Beren Millidge, Thomas Lukasiewicz

ICLR 2023 A Theoretical Framework for Inference and Learning in Predictive Coding Networks Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz

ICLR 2023 Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz

NeurIPS 2022 A Theoretical Framework for Inference Learning Nick Alonso, Beren Millidge, Jeffrey Krichmar, Emre O Neftci

NeurIPSW 2022 Generalized Predictive Coding: Bayesian Inference in Static and Dynamic Models André Ofner, Beren Millidge, Sebastian Stober

NeurIPS 2022 Learning on Arbitrary Graph Topologies via Predictive Coding Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz

NeurIPS 2022 Predictive Coding Beyond Gaussian Distributions Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz

IJCAI 2022 Predictive Coding: Towards a Future of Deep Learning Beyond Backpropagation? Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz

ICML 2022 Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz